2018/04/22 by Andrés Alayón Glazunov, Glazunov, Andrés Alayón, Per Hjalmar Lehne +1
Computer Science · Engineering · #Advanced MIMO Systems Optimization #FOS: Electrical engineering #Millimeter-Wave Propagation and Modeling #Signal Processing (eess.SP) #Wireless Communication Networks Research #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1804.08081
openalex publication_date 2018/04/22 · openalex created_date 2022/10/03 · openalex updated_date 2026/07/28
This paper presents a statistical modeling approach of the real-life\nuser-induced randomness due to mobile phone orientations for different phone\nusage types. As well-known, the radiated performance of a wireless device\ndepends on its orientation and position relative to the user. Therefore,\nrealistic handset usage models will lead to more accurate Over-The-Air\ncharacterization measurements for antennas and wireless devices in general. We\nintroduce a phone usage classification based on the network access modes, e.g.,\nvoice (circuit switched) or nonvoice (packet switched) services, and the use of\naccessories such as wired or Bluetooth handsets, or a speaker-phone during the\nnetwork access session. The random phone orientation is then modelled by the\nspherical von Mises-Fisher distribution for each of the identified phone usage\ntypes. A finite mixture model based on the individual probability distribution\nfunctions and heuristic weights is also presented. The models are based on data\ncollected from built-in accelerometer measurements. Our approach offers a\nstraightforward modeling of the user-induced random orientation for different\nphone usage types. The models can be used in the design of better handsets and\nantenna systems as well as for the design and optimization of wireless\nnetworks.\n